Copertina

Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and Significance

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Silva, Gabriel A.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Neurons and Cognition Functional Analysis
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Sampling in the Euclidean Motion Group and a Problem from Brain's Primary Visual Cortex
di: Barbieri, Davide
Pubblicazione: (2026)

Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks
di: Feiler, Florian, et al.
Pubblicazione: (2024)

Metric Framework of Coherent Activity Patterns Identification in Spiking Neuronal Networks
di: Radushev, Daniil, et al.
Pubblicazione: (2025)

Texture Recognition Using a Biologically Plausible Spiking Phase-Locked Loop Model for Spike Train Frequency Decomposition
di: Mastella, Michele, et al.
Pubblicazione: (2024)

A Quasi-Stationary Approach to Metastability in a System of Spiking Neurons with Synaptic Plasticity
di: Pouzat, Christophe, et al.
Pubblicazione: (2024)

Resolving the Blow-Up: A Time-Dilated Numerical Framework for Multiple Firing Events in Mean-Field Neuronal Networks
di: Dou, Xu'an, et al.
Pubblicazione: (2026)

AI-Assisted Geometric Analysis of Cultured Neuronal Networks: Parallels with the Cosmic Web
di: Kurz, Wolfgang, et al.
Pubblicazione: (2025)

A Practical Guide to Tuning Spiking Neuronal Dynamics
di: Gebhardt, William, et al.
Pubblicazione: (2025)

Topological Time Frequency Analysis of Functional Brain Signals
di: Chung, Moo K., et al.
Pubblicazione: (2025)

Neuron-Astrocyte Associative Memory
di: Kozachkov, Leo, et al.
Pubblicazione: (2023)

Parallel Neuron Groups in the Drosophila Brain
di: Worden, Robert
Pubblicazione: (2025)

Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

Spike distance function as a learning objective for spike prediction
di: Doran, Kevin, et al.
Pubblicazione: (2023)

Time-Integrated Spike-Timing-Dependent-Plasticity
di: Gebhardt, William, et al.
Pubblicazione: (2024)

Consciousness Driven Spike Timing Dependent Plasticity
di: Yadav, Sushant, et al.
Pubblicazione: (2024)

Morphological Neuron Classification Using Machine Learning
di: Vasques, Xavier, et al.
Pubblicazione: (2025)

Neurons as Detectors of Coherent Sets in Sensory Dynamics
di: Pughe-Sanford, Joshua L., et al.
Pubblicazione: (2025)

Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons
di: Sejnowski, Terrence J.
Pubblicazione: (2025)

Neurodevelopmental disorders modeling using isogeometric analysis, dynamic domain expansion and local refinement
di: Qian, Kuanren, et al.
Pubblicazione: (2024)

Predictive Coding with Spiking Neural Networks: a Survey
di: N'dri, Antony W., et al.
Pubblicazione: (2024)

Deviance Detection and Regularity Sensitivity in Dissociated Neuronal Cultures
di: Zhang, Zhuo, et al.
Pubblicazione: (2025)

Dissociated Neuronal Cultures as Model Systems for Self-Organized Prediction
di: Yaron, Amit, et al.
Pubblicazione: (2025)

Network Models of Neurodegeneration: Bridging Neuronal Dynamics and Disease Progression
di: Alexandersen, Christoffer G., et al.
Pubblicazione: (2025)

Theoretical / numerical study of modulated traveling waves in inhibition stabilized networks
di: Habib, Safaa, et al.
Pubblicazione: (2024)

High-fidelity and Network-based Spatio-temporal Mathematical Models of Alzheimer's Disease Progression and their Validation Against PET-SUVR Imaging Data
di: Caon, Beatrice, et al.
Pubblicazione: (2026)

A whole-brain model of amyloid beta accumulation and cerebral hypoperfusion in Alzheimer's disease
di: Corti, Mattia, et al.
Pubblicazione: (2026)

Wave propagation phenomena in nonlinear hierarchical neural networks with predictive coding feedback dynamics
di: Alamia, Andrea, et al.
Pubblicazione: (2025)

A Simple Channel Compression Method for Brain Signal Decoding on Classification Task
di: Ji, Changqing, et al.
Pubblicazione: (2024)

Multiple Neuronal Specializations Elicited By Socially Driven Recognition Of Food Odors
di: Plusnin, Viktor, et al.
Pubblicazione: (2024)

Variational Representational Similarity Analysis (vRSA) for M/EEG
di: Lepauvre, Alex, et al.
Pubblicazione: (2025)

Power-Law Scaling in the Classification Performance of Small-Scale Spiking Neural Networks
di: Zhang, Zhengdi, et al.
Pubblicazione: (2026)

Multi-Objective Optimisation with Oscillatory Dynamics in Spontaneous and Decision Spiking Neural Networks
di: Sethi, Divyansh, et al.
Pubblicazione: (2026)

Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays
di: Perrinet, Laurent U
Pubblicazione: (2026)

Effect of Dopamine in Enhancement of SNR of Cortico-Striatal-Thalamo-Cortical Loop Spiking
di: Barati, Hadi, et al.
Pubblicazione: (2025)

Causal Spike Timing Dependent Plasticity Prevents Assembly Fusion in Recurrent Networks
di: Yang, Xinruo, et al.
Pubblicazione: (2025)

A Sensing Whole Brain Zebrafish Foundation Model for Neuron Dynamics and Behavior
di: Vegas, Sam Fatehmanesh, et al.
Pubblicazione: (2025)

Inference of Monosynaptic Connections from Parallel Spike Trains: A Review
di: Kobayashi, Ryota, et al.
Pubblicazione: (2024)

BEOL Electro-Biological Interface for 1024-Channel TFT Neurostimulator with Cultured DRG Neurons
di: Zhou, Haobin, et al.
Pubblicazione: (2024)

From Neuronal Packets to Thoughtseeds: A Hierarchical Model of Embodied Cognition in the Global Workspace
di: Kavi, Prakash Chandra, et al.
Pubblicazione: (2024)

The Thermodynamic Model to Study the Slow Afterhyperpolarization in a Single Neuron at Different ATP Levels
di: Li, Jianwei, et al.
Pubblicazione: (2024)